Abstract: This relates to intelligent automated assistants and, more specifically, to intelligent context sharing and task performance among a collection of devices with intelligent automated assistant capabilities. An example method includes, at a first electronic device participating in a context-sharing group associated with a first location: receiving a user voice input; receiving, from a context collector, an aggregate context of the context-sharing group; providing at least a portion of the aggregate context and data corresponding to the user voice input to a remote device; receiving, from the remote device, a command to perform one or more tasks and a device identifier corresponding to a second electronic device; and transmitting the command to the second electronic device based on the device identifier, wherein the command causes the second electronic device to perform the one or more tasks.

Abstract: This relates to intelligent automated assistants and, more specifically, to intelligent context sharing and task performance among a collection of devices with intelligent automated assistant capabilities. An example method includes, at a first electronic device participating in a context-sharing group associated with a first location: receiving a user voice input; receiving, from a context collector, an aggregate context of the context-sharing group; providing at least a portion of the aggregate context and data corresponding to the user voice input to a remote device; receiving, from the remote device, a command to perform one or more tasks and a device identifier corresponding to a second electronic device; and transmitting the command to the second electronic device based on the device identifier, wherein the command causes the second electronic device to perform the one or more tasks.

Abstract: Systems and processes for operating an intercom system via a digital assistant are provided. The intercom system is trigger-free, in that users communicate, in real-time, via devices without employing a trigger to speak. Acoustic fingerprints are employed to associate users with devices. Acoustic fingerprints include vector embeddings of speech input in an acoustic-feature vector space. Speech heard at multiple devices, as embedded in a fingerprint, may be clustered in the vector space, and the structure of the clusters is employed to associate users and devices. Based on the fingerprints, a device is mapped to a user, and the user employs that device to participate in a conversation, via the intercom service.

Abstract: This relates to intelligent automated assistants and, more specifically, to intelligent context sharing and task performance among a collection of devices with intelligent automated assistant capabilities. An example method includes, at a first electronic device participating in a context-sharing group associated with a first location: receiving a user voice input; receiving, from a context collector, an aggregate context of the context-sharing group; providing at least a portion of the aggregate context and data corresponding to the user voice input to a remote device; receiving, from the remote device, a command to perform one or more tasks and a device identifier corresponding to a second electronic device; and transmitting the command to the second electronic device based on the device identifier, wherein the command causes the second electronic device to perform the one or more tasks.

Abstract: This relates to intelligent automated assistants and, more specifically, to intelligent context sharing and task performance among a collection of devices with intelligent automated assistant capabilities. An example method includes, at a first electronic device participating in a context-sharing group associated with a first location: receiving a user voice input; receiving, from a context collector, an aggregate context of the context-sharing group; providing at least a portion of the aggregate context and data corresponding to the user voice input to a remote device; receiving, from the remote device, a command to perform one or more tasks and a device identifier corresponding to a second electronic device; and transmitting the command to the second electronic device based on the device identifier, wherein the command causes the second electronic device to perform the one or more tasks.

Abstract: This relates to intelligent automated assistants and, more specifically, to intelligent context sharing and task performance among a collection of devices with intelligent automated assistant capabilities. An example method includes, at a first electronic device participating in a context-sharing group associated with a first location: receiving a user voice input; receiving, from a context collector, an aggregate context of the context-sharing group; providing at least a portion of the aggregate context and data corresponding to the user voice input to a remote device; receiving, from the remote device, a command to perform one or more tasks and a device identifier corresponding to a second electronic device; and transmitting the command to the second electronic device based on the device identifier, wherein the command causes the second electronic device to perform the one or more tasks.

Abstract: This relates to intelligent automated assistants and, more specifically, to intelligent context sharing and task performance among a collection of devices with intelligent automated assistant capabilities. An example method includes, at a first electronic device participating in a context-sharing group associated with a first location: receiving a user voice input; receiving, from a context collector, an aggregate context of the context-sharing group; providing at least a portion of the aggregate context and data corresponding to the user voice input to a remote device; receiving, from the remote device, a command to perform one or more tasks and a device identifier corresponding to a second electronic device; and transmitting the command to the second electronic device based on the device identifier, wherein the command causes the second electronic device to perform the one or more tasks.

Abstract: This relates to intelligent automated assistants and, more specifically, to intelligent context sharing and task performance among a collection of devices with intelligent automated assistant capabilities. An example method includes, at a first electronic device participating in a context-sharing group associated with a first location: receiving a user voice input; receiving, from a context collector, an aggregate context of the context-sharing group; providing at least a portion of the aggregate context and data corresponding to the user voice input to a remote device; receiving, from the remote device, a command to perform one or more tasks and a device identifier corresponding to a second electronic device; and transmitting the command to the second electronic device based on the device identifier, wherein the command causes the second electronic device to perform the one or more tasks.

Abstract: Systems and processes for operating an intercom system via a digital assistant are provided. The intercom system is trigger-free, in that users communicate, in real-time, via devices without employing a trigger to speak. Acoustic fingerprints are employed to associate users with devices. Acoustic fingerprints include vector embeddings of speech input in an acoustic-feature vector space. Speech heard at multiple devices, as embedded in a fingerprint, may be clustered in the vector space, and the structure of the clusters is employed to associate users and devices. Based on the fingerprints, a device is mapped to a user, and the user employs that device to participate in a conversation, via the intercom service.

Abstract: This relates to intelligent automated assistants and, more specifically, to intelligent context sharing and task performance among a collection of devices with intelligent automated assistant capabilities. An example method includes, at a first electronic device participating in a context-sharing group associated with a first location: receiving a user voice input; receiving, from a context collector, an aggregate context of the context-sharing group; providing at least a portion of the aggregate context and data corresponding to the user voice input to a remote device; receiving, from the remote device, a command to perform one or more tasks and a device identifier corresponding to a second electronic device; and transmitting the command to the second electronic device based on the device identifier, wherein the command causes the second electronic device to perform the one or more tasks.

Abstract: This relates to intelligent automated assistants and, more specifically, to intelligent context sharing and task performance among a collection of devices with intelligent automated assistant capabilities. An example method includes, at a first electronic device participating in a context-sharing group associated with a first location: receiving a user voice input; receiving, from a context collector, an aggregate context of the context-sharing group; providing at least a portion of the aggregate context and data corresponding to the user voice input to a remote device; receiving, from the remote device, a command to perform one or more tasks and a device identifier corresponding to a second electronic device; and transmitting the command to the second electronic device based on the device identifier, wherein the command causes the second electronic device to perform the one or more tasks.

Abstract: Resource restrictions are associated with a user identifier. A resource restriction agent receives operating system calls related for resources and provides resource request data to a resource agent. The resource agent determines whether the resource is restricted based on the resource request data and resource restriction data and generates access data based on the determination. The resource restriction agent grants or denies the system call based on the access data.

Abstract: Resource restrictions are associated with a user identifier. A resource restriction agent receives operating system calls related for resources and provides resource request data to a resource agent. The resource agent determines whether the resource is restricted based on the resource request data and resource restriction data and generates access data based on the determination. The resource restriction agent grants or denies the system call based on the access data.

Abstract: A computer generates one or more geometric rays at a predetermined height above one or more portions of an avatar's body in a virtual environment. Once the rays are generated, the computer computes intersections of the one or more rays with a collision mesh that defines a terrain of the virtual environment at the location of the avatar. Then, the computer computes the point of intersection of each of the one or more rays with the collision mesh. Using the points of intersection, the computer calculates an offset in an elevation and/or an offset in an orientation of the avatar with respect to the terrain in the virtual environment. Further, the computer adjusts the elevation and/or the orientation of the avatar based on the calculated offset in the elevation and/or the elevation in the orientation, respectively, such that the adjusted elevation and/or orientation compensates for the calculated offsets.

Abstract: Resource restrictions are associated with a user identifier. A resource restriction agent receives operating system calls related for resources and provides resource request data to a resource agent. The resource agent determines whether the resource is restricted based on the resource request data and resource restriction data and generates access data based on the determination. The resource restriction agent grants or denies the system call based on the access data.

Abstract: A computer determines a modified location for an avatar of a first entity in a virtual environment based on a location of the first entity in a capture volume and a transformation used to map a second entity from the capture volume to the virtual environment. The modified location of the avatar of the first entity relative to a location of an avatar of the second entity is consistent with the location of the first entity relative to the location of the second entity in the capture volume. Once the modified location is determined, the computer displays a graphical cue corresponding to the first entity at the modified location of the avatar of the first entity provided that a distance between the modified location of the avatar of the first entity is different from a current location of the avatar of the first entity in the virtual environment.

Abstract: Resource restrictions are associated with a user identifier. A resource restriction agent receives operating system calls related for resources and provides resource request data to a resource agent. The resource agent determines whether the resource is restricted based on the resource request data and resource restriction data and generates access data based on the determination. The resource restriction agent grants or denies the system call based on the access data.

Abstract: Resource restrictions are associated with a user identifier. A resource restriction agent receives operating system calls related for resources and provides resource request data to a resource agent. The resource agent determines whether the resource is restricted based on the resource request data and resource restriction data and generates access data based on the determination. The resource restriction agent grants or denies the system call based on the access data.

Abstract: Resource restrictions are associated with a user identifier. A resource restriction agent receives operating system calls related for resources and provides resource request data to a resource agent. The resource agent determines whether the resource is restricted based on the resource request data and resource restriction data and generates access data based on the determination. The resource restriction agent grants or denies the system call based on the access data.

Abstract: Resource restrictions are associated with a user identifier. A resource restriction agent receives operating system calls related for resources and provides resource request data to a resource agent. The resource agent determines whether the resource is restricted based on the resource request data and resource restriction data and generates access data based on the determination. The resource restriction agent grants or denies the system call based on the access data.